<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260305</CreaDate>
<CreaTime>17014600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20260305" Time="170146" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CompositeBands">CompositeBands T35MQU_20260225T080809_B12_20m.jp2;T35MQU_20260225T080809_B11_20m.jp2;T35MQU_20260225T080809_B8A_20m.jp2 C:\Users\user\Documents\ArcGIS\Projects\MyProjectNyiagongo\MyProjectNyiagongo.gdb\T35MQU_20260225_CompositeBand</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>RSA</keyword>
<keyword>RMB</keyword>
</searchKeys>
<idPurp>Lava lake detection</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2026 02 25</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
